---
library_name: peft
license: other
base_model: unsloth/Llama-3.2-3B-Instruct
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: llm3br256
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# llm3br256

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the centime dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0070

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1159        | 0.1208 | 25   | 0.1004          |
| 0.0843        | 0.2415 | 50   | 0.0635          |
| 0.0763        | 0.3623 | 75   | 0.0474          |
| 0.0496        | 0.4831 | 100  | 0.0365          |
| 0.046         | 0.6039 | 125  | 0.0316          |
| 0.0368        | 0.7246 | 150  | 0.0266          |
| 0.0283        | 0.8454 | 175  | 0.0232          |
| 0.0237        | 0.9662 | 200  | 0.0212          |
| 0.0234        | 1.0870 | 225  | 0.0194          |
| 0.0232        | 1.2077 | 250  | 0.0176          |
| 0.0307        | 1.3285 | 275  | 0.0178          |
| 0.0228        | 1.4493 | 300  | 0.0147          |
| 0.0167        | 1.5700 | 325  | 0.0155          |
| 0.0238        | 1.6908 | 350  | 0.0125          |
| 0.0191        | 1.8116 | 375  | 0.0138          |
| 0.0273        | 1.9324 | 400  | 0.0120          |
| 0.0194        | 2.0531 | 425  | 0.0125          |
| 0.0125        | 2.1739 | 450  | 0.0128          |
| 0.0132        | 2.2947 | 475  | 0.0117          |
| 0.0142        | 2.4155 | 500  | 0.0099          |
| 0.0119        | 2.5362 | 525  | 0.0105          |
| 0.0131        | 2.6570 | 550  | 0.0118          |
| 0.0089        | 2.7778 | 575  | 0.0100          |
| 0.0158        | 2.8986 | 600  | 0.0096          |
| 0.0119        | 3.0193 | 625  | 0.0096          |
| 0.0097        | 3.1401 | 650  | 0.0099          |
| 0.0089        | 3.2609 | 675  | 0.0092          |
| 0.0087        | 3.3816 | 700  | 0.0088          |
| 0.0083        | 3.5024 | 725  | 0.0088          |
| 0.0088        | 3.6232 | 750  | 0.0080          |
| 0.0058        | 3.7440 | 775  | 0.0069          |
| 0.008         | 3.8647 | 800  | 0.0070          |
| 0.0099        | 3.9855 | 825  | 0.0073          |
| 0.0072        | 4.1063 | 850  | 0.0113          |
| 0.0065        | 4.2271 | 875  | 0.0107          |
| 0.0079        | 4.3478 | 900  | 0.0097          |
| 0.0081        | 4.4686 | 925  | 0.0103          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3